Papers Video Compression
“Video Compression” 태그가 달린 논문 496편 · 필터 해제
Optimized learned entropy coding parameters for practical neural-based image and video compression
Neural-based image and video codecs are significantly more power-efficient when weights and activations are quantized to low-precision integers. While there are general-purpose techniques for reducing quantization effect…
QuantizationVideo CompressionLearning to Compress Unmanned Aerial Vehicle (UAV) Captured Video: Benchmark and Analysis
During the past decade, the Unmanned-Aerial-Vehicles (UAVs) have attracted increasing attention due to their flexible, extensive, and dynamic space-sensing capabilities. The volume of video captured by UAVs is exponentia…
Video CompressionAnalysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data
A huge advantage of the wavelet transform in image and video compression is its scalability. Wavelet-based coding of medical computed tomography (CT) data becomes more and more popular. While much effort has been spent o…
Computed Tomography (CT)Video CompressionMotion Information Propagation for Neural Video Compression
In most existing neural video codecs, the information flow therein is uni-directional, where only motion coding provides motion vectors for frame coding. In this paper, we argue that, through information interactions…
DecoderVideo CompressionVideo Compression With Entropy-Constrained Neural Representations
Encoding videos as neural networks is a recently proposed approach that allows new forms of video processing. However, traditional techniques still outperform such neural video representation (NVR) methods for the ta…
QuantizationVideo CompressionComplexity-Guided Slimmable Decoder for Efficient Deep Video Compression
In this work, we propose the complexity-guided slimmable decoder (cgSlimDecoder) in combination with skip-adaptive entropy coding (SaEC) for efficient deep video compression. Specifically, given the target complexity…
DecoderMotion CompensationVideo CompressionDual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation
The remote photoplethysmography (rPPG) technique can estimate pulse-related metrics (e.g. heart rate and respiratory rate) from facial videos and has a high potential for health monitoring. The latest deep rPPG metho…
Video CompressionNon-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression
Most video compression methods aim to improve the decoded video visual quality, instead of particularly guaranteeing the semantic-completeness, which deteriorates downstream video analysis tasks, e.g., action recogni…
Action RecognitionSemantic CompressionVideo CompressionContactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision
Remote photoplethysmography (rPPG) is a promising research area involving non-invasive monitoring of vital signs using cameras. While several supervised methods have been proposed, recent research has focused on cont…
Self-Supervised LearningVideo CompressionNIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling
Implicit Neural Representations (INR) have recently shown to be powerful tool for high-quality video compression. However, existing works are limiting as they do not explicitly exploit the temporal redundancy in videos, …
QuantizationVideo CompressionFFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos
Neural fields, also known as coordinate-based or implicit neural representations, have shown a remarkable capability of representing, generating, and manipulating various forms of signals. For video representations, howe…
Model CompressionQuantizationVideo CompressionVideo ReconstructionScalable Hybrid Learning Techniques for Scientific Data Compression
Data compression is becoming critical for storing scientific data because many scientific applications need to store large amounts of data and post process this data for scientific discovery. Unlike image and video compr…
Data CompressionGPUscientific discoveryVideo CompressionPIM: Video Coding using Perceptual Importance Maps
Human perception is at the core of lossy video compression, with numerous approaches developed for perceptual quality assessment and improvement over the past two decades. In the determination of perceptual quality, diff…
Video CompressionPruned Lightweight Encoders for Computer Vision
Latency-critical computer vision systems, such as autonomous driving or drone control, require fast image or video compression when offloading neural network inference to a remote computer. To ensure low latency on a nea…
Autonomous DrivingVideo CompressionVideo compression dataset and benchmark of learning-based video-quality metrics
Video-quality measurement is a critical task in video processing. Nowadays, many implementations of new encoding standards - such as AV1, VVC, and LCEVC - use deep-learning-based decoding algorithms with perceptual metri…
Image Quality AssessmentVideo CompressionVideo Quality AssessmentRethinking Implicit Neural Representations for Vision Learners
Implicit Neural Representations (INRs) are powerful to parameterize continuous signals in computer vision. However, almost all INRs methods are limited to low-level tasks, e.g., image/video compression, super-resolution,…
image-classificationImage ClassificationImage GenerationInstance Segmentation+5Advancing Learned Video Compression with In-loop Frame Prediction
Recent years have witnessed an increasing interest in end-to-end learned video compression. Most previous works explore temporal redundancy by detecting and compressing a motion map to warp the reference frame towards th…
MS-SSIMPredictionSSIMVideo CompressionPerceptual Video Coding for Machines via Satisfied Machine Ratio Modeling
Video Coding for Machines (VCM) aims to compress visual signals for machine analysis. However, existing methods only consider a few machines, neglecting the majority. Moreover, the machine's perceptual characteristics ar…
image-classificationImage Classificationobject-detectionObject Detection+2Impact of Video Compression on the Performance of Object Detection Systems for Surveillance Applications
This study examines the relationship between H.264 video compression and the performance of an object detection network (YOLOv5). We curated a set of 50 surveillance videos and annotated targets of interest (people, bike…
object-detectionObject DetectionVideo CompressionThe Need for Medically Aware Video Compression in Gastroenterology
Compression is essential to storing and transmitting medical videos, but the effect of compression on downstream medical tasks is often ignored. Furthermore, systems in practice rely on standard video codecs, which naive…
Video Compression